Title :
Adaptive fast Gaussian background subtraction algorithm
Author :
Fan Zhang ; Lei Yang ; Guangwen Zhang
Author_Institution :
Inf. Eng. Sch. of Commun., Univ. of China, Beijing, China
Abstract :
This paper starts from the background subtraction algorithm, focusing on discussing Gaussian mixture model for background subtraction algorithm. Gaussian mixture model for background subtraction method, under the conditions of ordinary PC computing power, the speed is still slow for the real-time system. Order to solve the problem of detecting speed, an improved target detection algorithm-adaptive fast Gaussian background subtraction algorithm comes into being. The speed of this algorithm compared to the classic Gaussian mixture background subtraction algorithm is faster, with better performing in real-time system, higher detection rate, lower false detection rate, better inhibition ability of noise.
Keywords :
Gaussian processes; image motion analysis; object detection; real-time systems; target tracking; video signal processing; Gaussian mixture model; adaptive fast Gaussian background subtraction algorithm; detection rate; moving target detection; moving target tracking; ordinary PC computing power; real-time system; video motion analysis; Gaussian mixture model; algorithm; detection; subtraction; target;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526045